Knowledge, attitude, and perception of dental undergraduates towards mobile and digital learning methods in India: A cross-sectional study.

BACKGROUND: Internet-based education is having few advantages since it increases an emphasis on the education system based on problems by incorporation of both visual as well as interactive tools. Also, some contributions to practical skills can be made using pictorial as well as video-based knowledge. The present study aimed to assess the knowledge, attitude, and perception of dental undergraduates towards mobile and digital learning methods in India. MATERIALS AND METHODS: This was a cross-sectional questionnaire-based study conducted after obtaining Institutional Ethical Review Board permission. Before commencing the study, the purpose of the study was explained to the study participants and written informed consent was obtained. About 200 undergraduate students of dentistry in a single institution were selected as a convenient sample. Information obtained from responses was entered into an Excel sheet (Microsoft Corporation) and was further analyzed. Data collection was done for a period of one month. Statistical analysis: Obtained data were recorded and subjected to statistical analysis by use of statistical SPSS software (version 20.0, IBM). Descriptive statistical data were recorded as frequencies or percentages. Chi-square statistical test was used for the assessment of responses obtained from dental undergraduate students. The level of significance was fixed at a probability of <0.05. RESULTS AND OBSERVATIONS: On statistically analyzing, 99% of students were found to possess knowledge regarding the use of mobile phones for digital education. A good statistical correlation was obtained between attitude and perception regarding accessing digital learning using mobile phones. CONCLUSION: In the present study, good knowledge, attitude, and perception regarding the use of digital learning using phones were found among Indian dental undergraduates.

Effects of Yoga therapy in teaching oral hygiene practice and tooth brushing skills in patients with Parkinson's disease: A qualitative study.

BACKGROUND: Parkinson's disease is a chronic neurodegenerative disorder associated with heterogeneous symptoms. Though it is characterized by means of four distinct motor symptoms such as resting tremors, muscular rigidity, bradykinesia, and postural instability. These patients also have deficits in fine motor skills while performing simple tasks such as brushing their own teeth, taking bath, remembering small details, and writing skills. The study aimed to qualitatively evaluate the effectiveness of Yoga therapy in teaching oral hygiene practice and subsequently, on tooth brushing skills in patients who were diagnosed with Parkinson's disease. MATERIALS AND METHODS: This qualitative study was conducted on 100 patients diagnosed with Parkinson's disease. Institutional ethical committee permission was obtained prior to commencing the study. Written informed consent was obtained from patients or their caregivers before conducting this study. Detailed clinical history was recorded and gender characteristics were noted down. In the present study, there were 67 female and 33 male participants. Yoga exercises were taught to Parkinson's patients by a qualified yoga instructor. Improvements in toothbrushing skills were noted down by a single operator and oral hygiene status was analyzed using gingival index and plaque index on follow-up durations at 1, 2, 3, and 6 months. Yoga exercises comprised of warming up, stretching, yoga breathing exercises or pranayama, and/or relaxation process. Statistical analysis was performed by use of IBM SPSS Version 20.0. (IBM Corp., Armonk, NY) software designed for Windows. Intra-group comparison between categorical variables was done by statistical test-paired student 't-test'. RESULTS: On comparing plaque indices, the mean ± SD plaque index at 1st, 2nd, 3rd, and 6th months were 1.89 ± 0.02, 1.72 ± 0.01, 1.42 ± 0.12, and 0.56 ± 0.02, respectively. Mean ± SD gingival index scores at 1st month, 2nd month, 3rd month, and 6th-month durations, scores were 1.76 ± 0.06, 1.57 ± 0.12, 1.23 ± 0.02, and 0.76 ± 0.01, respectively. Statistical significance difference was noted on comparing the indices scores. CONCLUSION: Yoga practice has been shown to improve toothbrushing skills and oral hygiene in Parkinson's disease patients.

Automated psoriasis lesion segmentation from unconstrained environment using residual U-Net with transfer learning.

BACKGROUND AND OBJECTIVE: The automatic segmentation of psoriasis lesions from digital images is a challenging task due to the unconstrained imaging environment and non-uniform background. Existing conventional or machine learning-based image processing methods for automatic psoriasis lesion segmentation have several limitations, such as dependency on manual features, human intervention, less and unreliable performance with an increase in data, manual pre-processing steps for removal of background or other artifacts, etc. METHODS: In this paper, we propose a fully automatic approach based on a deep learning model using the transfer learning paradigm for the segmentation of psoriasis lesions from the digital images of different body regions of the psoriasis patients. The proposed model is based on U-Net architecture whose encoder path utilizes a pre-trained residual network model as a backbone. The proposed model is retrained with a self-prepared psoriasis dataset and corresponding segmentation annotation of the lesion. RESULTS: The performance of the proposed method is evaluated using a five-fold cross-validation technique. The proposed method achieves an average Dice Similarity Index of 0.948 and Jaccard Index of 0.901 for the intended task. The transfer learning provides an improvement in the segmentation performance of about 4.4% and 7.6% in Dice Similarity Index and Jaccard Index metric respectively, as compared to the training of the proposed model from scratch. CONCLUSIONS: An extensive comparative analysis with the state-of-the-art segmentation models and existing literature validates the promising performance of the proposed framework. Hence, our proposed method will provide a basis for an objective area assessment of psoriasis lesions.

Association of SUMOylation Pathway Genes With Stroke in a Genome-Wide Association Study in India.

OBJECTIVE: To undertake a genome-wide association study (GWAS) to identify genetic variants for stroke in an Indian population. METHODS: In a hospital-based case-control study, 8 teaching hospitals in India recruited 4,088 participants, including 1,609 stroke cases. Imputed genetic variants were tested for association with stroke subtypes using both single-marker and gene-based tests. Association with vascular risk factors was performed with logistic regression. Various databases were searched for replication, functional annotation, and association with related traits. Status of candidate genes previously reported in the Indian population was also checked. RESULTS: Associations of vascular risk factors with stroke were similar to previous reports and show modifiable risk factors such as hypertension, smoking, and alcohol consumption as having the highest effect. Single-marker-based association revealed 2 loci for cardioembolic stroke (1p21 and 16q24), 2 for small vessel disease stroke (3p26 and 16p13), and 4 for hemorrhagic stroke (3q24, 5q33, 6q13, and 19q13) at p < 5 × 10-8. The index single nucleotide polymorphism of 1p21 is an expression quantitative trait locus (p lowest = 1.74 × 10-58) for RWDD3 involved in SUMOylation and is associated with platelet distribution width (1.15 × 10-9) and 18-carbon fatty acid metabolism (p = 7.36 × 10-12). In gene-based analysis, we identified 3 genes (SLC17A2, FAM73A, and OR52L1) at p < 2.7 × 10-6. Eleven of 32 candidate gene loci studied in an Indian population replicated (p < 0.05), and 21 of 32 loci identified through previous GWAS replicated according to directionality of effect. CONCLUSIONS: This GWAS of stroke in an Indian population identified novel loci and replicated previously known loci. Genetic variants in the SUMOylation pathway, which has been implicated in brain ischemia, were identified for association with stroke.

Psoriasis Lesion Detection Using Hybrid Seeker Optimization-based Image Clustering.

BACKGROUND: In recent years, there has been a massive increase in the number of people suffering from psoriasis. For proper psoriasis diagnosis, psoriasis lesion segmentation is a prerequisite for quantifying the severity of this disease. However, segmentation of psoriatic lesions cannot be evaluated just by visual inspection as they exhibit inter and intra variability among the severity classes. Most of the approaches currently pursued by dermatologists are subjective in nature. The existing conventional clustering algorithm for objective segmentation of psoriasis lesion suffers from limitations of premature local convergence. OBJECTIVE: An alternative method for psoriatic lesion segmentation with objective analysis is sought in the present work. The present work aims at obtaining optimal lesion segmentation by adopting an evolutionary optimization technique that possesses a higher probability of global convergence for psoriasis lesion segmentation. METHODS: A hybrid evolutionary optimization technique based on the combination of two swarm intelligence algorithms, namely Artificial Bee Colony and Seeker Optimization algorithm, has been proposed. The initial population for the hybrid technique is obtained from the two conventional local- based approaches, i.e., Fuzzy C-means and K-means clustering algorithms. RESULTS: The initial population selection from the convergence of classical techniques reduces the effect of population dynamics on the final solution and hence yields precise lesion segmentation with a Jaccard Index of 0.91 from 720 psoriasis images. CONCLUSION: The performance comparison reflects the superior performance of the proposed algorithm over other swarm intelligence and conventional clustering algorithms.

Incremental Accuracy of Blood Biomarkers for Predicting Clinical Outcomes After Intracerebral Hemorrhage.

BACKGROUND: Intracerebral hemorrhage (ICH) is associated with high mortality, morbidity, and recurrence. Studies have reported the accuracy of several blood biomarkers in predicting clinical outcomes; however, their independent contribution in prediction remains to be established. AIM: To investigate the incremental accuracy in predicting clinical outcomes in patients with ICH in a north Indian population using blood-based biomarkers. METHODS: In this study, a total of 250 ICH cases were recruited within 72 hours of onset. Baseline clinical and CT scan measurement were recorded. Homocysteine (HCY), C-reactive protein (CRP), matrix metalloproteinase-9 (MMP9), E-selectin (SELE), and P-selectin (SELP) levels were measured through ELISA. Telephonic follow-up was done by using mRS scale at three months. RESULTS: The mean age of cohort was 54.9 (SD±12.8) years with 64.8% patients being male. A total of 109 (43.6%) deaths were observed over three months follow-up. Area under the receiver operating characteristics curve-(AUROC) for 90-day mortality were 0.55 (HCY), 0.62 (CRP), 0.57 (MMP9), 0.60 (SELE) and 0.53 (SELP) and for poor outcome at 90-day (mRS: 3-6) were 0.60 (HCY), 0.62 (CRP), 0.54 (MMP9), 0.67 (SELE) and 0.54 (SELP). In multivariable model including age, ICH volume, IVH and GCS at admission, serum SELE (p=0.004) significant for poor outcome with improved AUROC (0.86) and HCY (p=0.04), CRP (p=0.003) & MMP9 (p=0.02) for mortality with least Akaike's Information Criterion-(AIC) (1060.5). CONCLUSIONS: Our findings suggest that the serum SELE is a significant predictor of poor outcome and HCY, CRP & MMP9 for Mortality in patients with ICH in the north Indian population.

Relationship between Factor V Leiden Gene Variant and Risk of Ischemic Stroke: A Case-Control Study.

BACKGROUND: Factor V Leiden is the most common genetic variation among the blood coagulation pathway which leads to prothrombotic state, therefore, is considered an important gene for understating the stroke mechanism. AIM: The aim of the present study is to determine the relationship between single nucleotide polymorphism at G1691A position of Factor V gene and risk of ischemic stroke (IS) in North Indian population. MATERIALS AND METHODS: In a retrospective case-control study, 250 patients with IS and 250 age- and gender-matched controls were enrolled in the period of October 2012 to September 2014 from in- and out-patient department of Neurology, All India Institute of Medical Sciences, New Delhi, India. Deoxyribonucleic acid for each case and control was isolated from peripheral blood using phenol-chloroform extraction method. Polymerase chain reaction-restriction fragment length polymorphism method was used to determine the polymorphism. Data were analyzed using STATA Software Version 13. RESULTS: The mean age of IS patient was 52.8 ± 12.5 years and in control group was 50.97 ± 12.7 years. Genotypic frequency distributions were in accordance with Hardy-Weinberg equilibrium in both cases and controls. As expected hypertension, diabetes, dyslipidemia, smoking, heavy alcohol intake, family history of stroke, and poor economic status were significantly associated with the risk of IS. Multivariate analysis revealed 5.17 times higher odds for developing the risk of large vessel subtype of IS in patients carrying Factor V Leiden G1691A gene variation as compared to control subjects (OR, 5.17; 95% CI, 1.32-20.3, P = 0.01). CONCLUSION: The present study suggests that Factor V Leiden G1691A polymorphism may be significantly associated with the risk of large vessel subtype of IS. Large sample size studies using prospective cohort designs are required to corroborate the present findings.